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» Polymorphism and Genetic Programming
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CEC
2010
IEEE
13 years 8 months ago
Improving GP classification performance by injection of decision trees
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
Rikard König, Ulf Johansson, Tuve Löfstr...
ECAI
2010
Springer
13 years 8 months ago
Learning Aggregation Functions for Expert Search
Abstract. Machine learning techniques are increasingly being applied to problems in the domain of information retrieval and text mining. In this paper we present an application of ...
Ronan Cummins, Mounia Lalmas, Colm O'Riordan
GECCO
2008
Springer
119views Optimization» more  GECCO 2008»
13 years 8 months ago
GP age-layer and crossover effects in bid-offer spread prediction
The bid-offer spread on equity options is a key source of profits for market makers, and a key cost for those trading in the options. Spreads are influenced by dynamic market f...
Amy Willis, Suneer Patel, Christopher D. Clack
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
13 years 8 months ago
Evolutionary design of dynamic SwarmScapes
This paper discusses interactive evolutionary algorithms and their application in swarm-based image generation. From an artist’s perspective, the computer-generated patterns o...
Namrata Khemka, Scott Novakowski, Gerald Hushlak, ...
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
13 years 8 months ago
Multiobjective robustness for portfolio optimization in volatile environments
Multiobjective methods are ideal for evolving a set of portfolio optimisation solutions that span a range from highreturn/high-risk to low-return/low-risk, and an investor can cho...
Ghada Hassan, Christopher D. Clack